G2 Vendor Directory

Amazon Relational Database Service (RDS) vs. Azure Cosmos DB

A side-by-side comparison based on G2 review data.

MetricAmazon Relational Database Service (RDS)

by Amazon Web Services (AWS)

Azure Cosmos DB

by Microsoft

Overall rating4.54.2
Review count90768
Ease of use9.08.4
Ease of setup9.08.2
Quality of support8.88.5
Meets requirements9.18.8
NPS66.16454235.59322
Small Business28.8%27.9%
Mid-Market37.5%27.9%
Enterprise33.7%44.1%
Total page views646202
Total LLM citations2,389883

Amazon Relational Database Service (RDS)

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.

Pros

  • Ease of Use
  • Scalability
  • Setup Ease
  • Security
  • Backup Services
  • Reliability

Azure Cosmos DB

Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management.

Pros

  • Ease of Use
  • Scalability
  • Features
  • Integrations
  • Security Protection
  • Customization